Geography Reference
In-Depth Information
holdings area and construction (e.g., the classification accuracy is very good where
the large fields exist), and the crop type to be classified (e.g., the existing of wheat
and barley together would make the spectral separation difficult that will impact the
accuracy of classification). Here, more positive results may be realized by obtaining
images at more times during the annual agricultural growing cycle.
The use of remote sensing techniques and data periodically to monitor and
evaluate above ground surface natural resources can save time, effort and capital
which are needed for traditional human-based ground surveys.
It is important to integrate the gathered human-based statistical records (agri-
cultural statistics in particular) with the remote sensing techniques to interpret the
relative old data of remote sensing that have no or insufficient compatible refer-
ence data. It is useful too, when a part of the study area is inaccessible.
The adoption of remote sensing techniques is an essential cartographical tool to
map the general wide land use/land cover classes.
Some demands include: The construction of user-friendly data archives with
united data-formats as far as possible; the direction of more attention to the
developed countries where there are many interesting topics to study using the
remote sensing techniques. For instance, it is very difficult and time consuming to
obtain remotely sensed data even if they are free of cost, and one requires a large
amount of time to download one image because the slow Internet speed, in
addition to a lack of digital image processing software.
For further research: This study, like all studies, is an unfinished work because
of the limitations of time, resources and finance. Therefore, the results included in
this study are the best they can be, considering these limitations.
It would be interesting if the results of this study which are based on medium-
to high- resolution optical remotely sensed data, were compared with those from
resulting from the application of a very high resolution optical data (e.g., IKO-
NOS), especially for agricultural purposes; the use of remotely sensed hyper-
spectral data (e.g., Hyperion); and the application of remotely sensed RADAR-
data (e.g., TerraSAR-X). In these cases, it would be necessary to apply new
advanced digital analysis techniques, such as spectral un-mixing analysis.
Also, I am interested to link the results of this study and remote sensing
techniques with GIS, for hydrologic study and regional water resources manage-
ment of the Euphrates River Basin in Syria, and for agricultural water usage. I
have collected a great deal of water data about the Euphrates, especially the water
measurements at many measurement-stations along the river from the Syrian-
Turkey borders to the Syrian-Iraqi borders over many decades.
This integration would be effective, because the classical applied approaches
for estimating the hydraulic parameters are expensive and time consuming.
Remote sensing can overcome these problems, by presenting a rapid and complete
overview of the study area of interest. Here, weather satellites such as the NOAA-
TIROS (National Oceanic and Atmospheric Administration-Television Infrared
Observation Satellite), can provide us with some needed parameters (climatic
parameters) which are essential for input in the hydraulic model. Evaporation or
evapo-transpiration (ET) is the most important and difficult to estimate in the
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